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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Work logged] (BEAM-2855) Implement a python version of the nexmark queries
Date Sat, 23 Jun 2018 01:40:00 GMT


ASF GitHub Bot logged work on BEAM-2855:

                Author: ASF GitHub Bot
            Created on: 23/Jun/18 01:39
            Start Date: 23/Jun/18 01:39
    Worklog Time Spent: 10m 
      Work Description: aaltay commented on a change in pull request #5738: [BEAM-2855] Add
Python Nexmark suite

 File path: sdks/python/apache_beam/testing/benchmarks/nexmark/queries/
 @@ -0,0 +1,78 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Nexmark Query 0: Pass through (send and receive auction events)..
+The Nexmark suite is a series of queries (streaming pipelines) performed
+on a simulation of auction events. This query is a pass through that
+simply parses the events generated by the launcher. It serves as a test
+to verify the infrastructure.
+from __future__ import absolute_import
+from __future__ import print_function
+import csv
+import logging
+import apache_beam as beam
+from apache_beam.metrics.metric import Metrics
+from apache_beam.testing.benchmarks.nexmark.models import nexmark_model
+class ParseEventFn(beam.DoFn):
+  """Parses the raw event info into a Python objects.
+  Each event line has the following format:
+    person: <id starting with 'p'>,name,email,credit_card,city,
+            state,timestamp,extra
+    auction: <id starting with 'a'>,item_name, description,
+            initial_bid,reserve_price,timestamp,expires,seller,category,extra
+    bid: <auction starting with 'b'>,bidder,price,timestamp,extra
+  For example:
+    'p12345,maria,,1234-5678-9012-3456,
+                                          sunnyvale,CA,1528098831536'
+    'a12345,car,2012 hyundai elantra,20K,15K,
+                                      1528098831536,20180630,maria,vehicle'
+    'b12345,maria,354,1528098831536'
+  """
+  def __init__(self):
+    super(ParseEventFn, self).__init__()
+    self.num_parse_errors = Metrics.counter(self.__class__, 'num_parse_errors')
+  def process(self, elem):
+    row = list(csv.reader([elem]))[0]
+    if row[0].startswith('p'):
 Review comment:
   Consider using a dictionary to map first characters to corresponding models to replace
if/elif... statements.

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Issue Time Tracking

    Worklog Id:     (was: 114997)
    Time Spent: 2h  (was: 1h 50m)

> Implement a python version of the nexmark queries
> -------------------------------------------------
>                 Key: BEAM-2855
>                 URL:
>             Project: Beam
>          Issue Type: Improvement
>          Components: examples-nexmark, sdk-py-core, testing
>            Reporter: Ismaël Mejía
>            Assignee: María GH
>            Priority: Minor
>              Labels: newbie, nexmark, starter
>          Time Spent: 2h
>  Remaining Estimate: 0h
> Currently we have a Java only implementation of Nexmark, a python based implementation
would be nice to have to validate the direct and dataflow runners, but also to validate the
new support of multiple SDKs in multiple runners via the runner/fn API.

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